Instructions to use Lapisbird/Llama-adaLR-appendix-model-codi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lapisbird/Llama-adaLR-appendix-model-codi with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Lapisbird/Llama-adaLR-appendix-model-codi") model = AutoModel.from_pretrained("Lapisbird/Llama-adaLR-appendix-model-codi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Improve model card with description, links, and sample usage
#1
by nielsr HF Staff - opened
This PR significantly enhances the model card for Lapisbird/Llama-adaLR-model-latent-6 by:
- Adding
pipeline_tag: text-generationto the metadata for better discoverability on the Hugging Face Hub. - Providing a concise description of the model based on its associated paper.
- Including direct links to the paper and the GitHub repository.
- Incorporating a clear Python code snippet for sample usage, taken directly from the GitHub README, to enable users to quickly get started with loading the model.
- Removing the irrelevant "File information" section from the model card.
Please review these updates.